Prediction of acupuncture efficacy in acute ischemic stroke constructing a clinical-radiomics multimodal model
The combined model integrating clinical and radiomics features can accurately screen the population benefiting from acupuncture treatment, in which the KNN algorithm has the best stability and provides a reliable basis for individualized treatment decisions.
Authors
- Lijuan Zhao (ORCID: https://orcid.org/0000-0002-8481-0435)
- Zhengxiang Huang (ORCID: https://orcid.org/0000-0002-4608-9405)
- Yanyan Cheng (ORCID: https://orcid.org/0000-0002-2065-6512)
- Ran An (ORCID: https://orcid.org/0000-0002-5475-3353)
- Baoying Zhao
Institutions
- Liaoning University of Traditional Chinese Medicine (CN)
- Affiliated Hospital of Liaoning University of Traditional Chinese Medicine (CN)
Publication Details
- Journal
- Frontiers in Neurology
- Published
- 2025-11-28
- DOI
- https://doi.org/10.3389/fneur.2025.1682842
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00